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| Author | Ming, M., Munkhtsog, B., McCarthy, T., McCarthy, K. | ||||
| Title | Monitor ing of Population Density of Snow Leopard in X injiang | Type | Journal Article | ||
| Year | 2011 | Publication | Journal of Ecology and Rural Environment | Abbreviated Journal | |
| Volume | 27 | Issue | 1 | Pages | 79-83 |
| Keywords | Uncia uncia; snow leopard; monitoring method; trace; infrared camera; relative intensity | ||||
Abstract  |
The snow leopard (Uncia uncia) is a very rare species in China. The survey of traces of snow leopard in Kunlun, Altay and Tianshan is them a instep of the Project of Snow Leopard in X injiang supported by the International Snow Leopard Trust ( SLT) and the Xinjiang Conservation Fund (XCF). During the field survey from 2004 to 2010, the Xinjiang Snow Leopard Group ( XSLG) spent about 270 days in over 20 different places, covering over 150 transects totaling nearly 190 km, and found 1- 3 traces per kilometer. The traces of snow leopard recorded include dung, odor, chains of footprints, scraping, paw nail marks, lying mark, fur, urine, bloodstain, leftover of prey corpse, roaring and others. Based on tracer image analyses, the XSLG got to know primarily scopes of the domains, distribution and relative density of the snow leopard in these areas. Then the group began to take infrared photos, conducted survey of food sources of the leopards, investigated fur market and paths of trading, and cases of killing, and carry out civil survey through questionnaire, non government organization community service and research on conflicts between grazing and wild life protection. A total of 36 infrared came ras were laid out, working a total of about 2 094 days or 50 256 hours. A total 71 rolls of film were collected and developed, includ ing 32 clear pictures of snow leopards, thus making up a shooting rate or capture rate of 1.53%. It was ascertained that in Tomur Peak area, there were 5- 8 snow leopards roaming within a range of 250 km2, forming a population density of 2��0- 3��2 per 100 km2. After compar ing the various monitoring results, the advantages and limitations of different monitoring methods have been discussed. | ||||
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| Language | Chinese | Summary Language | Original Title | ||
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| Notes | Approved | no | |||
| Call Number | SLN @ rana @ | Serial | 1303 | ||
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| Author | Yu, N.Z.C.; Wang, X.; He, G.; Zhang, Z.; Zhang, A.; Lu, W.; Tang, F. | ||||
| Title | A revision of genus Uncia Gray, 1854 based on mitochondrial DNA restriction site maps | Type | Journal Article | ||
| Year | 1996 | Publication | Acta Theriologica Sinica | Abbreviated Journal | |
| Volume | 16 | Issue | 2 | Pages | 105-108 |
| Keywords | taxonomy; uncia; panthera; snow-leopard; snow leopard; browse; 1350; Chinese | ||||
| Abstract |
The Snow leopard (Panthera uncia) is one of the most threatened wild big cats within its range of distribution, however, the question of its systematic status is a matter of debate. Is it a member of genus Panthera, or is it in its own genus (Uncia)? The analysis of genetic difference at the DNA level may provide useful data to clarify the issue. In the present study, ten hexanucleotide-specific restriction endonucleases were used to evaluate the patterns of mitochondrial DNA variation between the Snow leopard and leopard (P. pardus). The molecular size of mtDNA from the two species was about 16.5 kb. Ten enzymes surveyed 32-34 restriction sites, which corresponded to 192 apprx 204 base pairs, or 1.16% apprx 1.24% of the total mtDNA molecule. A total of 45 restriction sites were mapped; of these sites, twenty-four, which correspond to 53.3% of the total sites, were variable. The sequence divergence between them was 0.075 33, which was undoubtedly in the species-level distinction but did not reach the genus level. Therefore, the Snow leopard should be placed in the genus Panthera rather than in its own ganus. It also seems reasonable to recognize Uncia as a valid subgenus. This conclusion not only support but also supplement the viewpoint of Simpson who treated Uncia as a subgenus within Panthera. | ||||
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| Notes | Document Type: Chinese | Approved | no | ||
| Call Number | SLN @ rana @ 295 | Serial | 1063 | ||
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| Author | Li, J., Weckworth, B. V., McCarthy, T. M., Liang, X., Liu, Y., Xing, R., Li, D., Zhang, Y., Xue, Y., Jackson, R., Xiao, L., Cheng, C., Li, S., Xu, F., Ma, M., Yang, X., Diao, K., Gao, Y., Song, D., Nowell, K., He, B., Li, Y., McCarthy, K., Paltsyn, M. Y., Sharma, K., Mishra, C., Schaller, G. B., Lu, Z., Beissinger, S. R. | ||||
| Title | Defining priorities for global snow leopard conservation landscapes | Type | Journal Article | ||
| Year | 2019 | Publication | Biological Conservation | Abbreviated Journal | |
| Volume | 241 | Issue | 108387 | Pages | 1-10 |
| Keywords | Panthera uncia, Conservation prioritization, Landscape Conservation Unit, Connectivity, Linkage | ||||
| Abstract |
The snow leopard (Panthera uncia) is an apex predator on the Tibetan Plateau and in the surrounding mountain ranges. It is listed as Vulnerable in the IUCN's Red List. The large home range and low population densities of this species mandate range-wide conservation prioritization. Two efforts for range-wide snow leopard conservation planning have been conducted based on expert opinion, but both were constrained by limited knowledge and the difficulty of evaluating complex processes, such as connectivity across large landscapes. Here, we compile > 6000 snow leopard occurrence records from across its range and corresponding environmental covariates to build a model of global snow leopard habitat suitability. Using spatial prioritization tools, we identi!ed seven large continuous habitat patches as global snow leopard Landscape Conservation Units (LCUs). Each LCU faces differing threat levels from poaching, anthropogenic development, and climate change. We identi!ed ten po- tential inter-LCU linkages, and centrality analysis indicated that Tianshan-Pamir-Hindu Kush-Karakorum, Altai, and the linkage between them play a critical role in maintaining the global snow leopard habitat connectivity. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1490 | ||
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| Author | Rashid, W., Shi, J., Rahim, I. U., Qasim, M., Baloch, M. N., Bohnett, E., Yang, F., Khan, I., Ahmad, B. | ||||
| Title | Modelling Potential Distribution of Snow Leopards in Pamir, Northern Pakistan: Implications for Human–Snow Leopard Conflicts | Type | Journal Article | ||
| Year | 2021 | Publication | Sustainability | Abbreviated Journal | |
| Volume | 13 | Issue | 13229 | Pages | 1-15 |
| Keywords | habitat fragmentation; habitat suitability; land use/cover change; Panthera uncia; MaxEnt model | ||||
| Abstract |
The snow leopard (Panthera uncia) is a cryptic and rare big cat inhabiting Asia’s remote and harsh elevated areas. Its population has decreased across the globe for various reasons, includ | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1664 | ||
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| Author | LI. J, WANG. D, YIN. H,ZHAXI. D, JIAGONG. Z,SCHALLER. G. B,MISHRA. C,MCCARTHY. T. M, WANG. H,WU. L,XIAO. L,BASANG. L,ZHANG. Y,ZHOU. Y,LU. Z | ||||
| Title | Role of Tibetan Buddhist Monasteries in Snow Leopard Conservation | Type | Journal Article | ||
| Year | 2013 | Publication | Conservation Biology | Abbreviated Journal | |
| Volume | 00 | Issue | Pages | 1-8 | |
| Keywords | conservation strategy, distribution, MaxEnt, nature reserve, Panthera uncia, sacred mountain | ||||
| Abstract |
The snow leopard (Panthera uncia) inhabits the rugged mountains in 12 countries of Central Asia, including the Tibetan Plateau. Due to poaching, decreased abundance of prey, and habitat degradation, it was listed as endangered by the International Union for Conservation of Nature in 1972. Current conservation strategies, including nature reserves and incentive programs, have limited capacities to protect snow leopards. We investigated the role of Tibetan Buddhist monasteries in snow leopard conservation in the Sanjiangyuan region in China’s Qinghai Province on the Tibetan Plateau. From 2009 to 2011, we systematically surveyed snow leopards in the Sanjiangyuan region. We used the MaxEnt model to determine the relation of their presence to environmental variables (e.g., elevation, ruggedness) and to predict snow leopard distribution. Model results showed 89,602 km2 of snow leopard habitat in the Sanjiangyuan region, of which 7674 km2 lay within Sanjiangyuan Nature Reserve’s core zones. We analyzed the spatial relation between snow leopard habitat and Buddhist monasteries and found that 46% of monasteries were located in snow leopard habitat and 90% were within 5 km of snow leopard habitat. The 336 monasteries in the Sanjiangyuan region could protect more snow leopard habitat (8342 km2) through social norms and active patrols than the nature reserve’s core zones. We conducted 144 household interviews to identify local herders’ attitudes and behavior toward snow leopards and other wildlife. Most local herders claimed that they did not kill wildlife, and 42% said they did not kill wildlife because it was a sin in Buddhism. Our results indicate monasteries play an important role in snow leopard conservation. Monastery-based snow leopard conservation could be extended to other Tibetan Buddhist regions that in total would encompass about 80% of the global range of snow leopards. |
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1400 | ||
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| Author | Xiao, C., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. | ||||
| Title | How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Resources and Ecology | Abbreviated Journal | |
| Volume | 13 | Issue | 3 | Pages | 483-500 |
| Keywords | habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia | ||||
| Abstract |
The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1688 | ||
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| Author | Changxi, X., Bai, D., Lambert, J. P., Li, Y., Cering, L., Gong, Z., Riordan, P., Shi, K. | ||||
| Title | How Snow Leopards Share the Same Landscape with Tibetan Agro-pastoral Communities in the Chinese Himalayas | Type | Journal Article | ||
| Year | 2022 | Publication | Journal of Resources and Ecology | Abbreviated Journal | |
| Volume | 13 | Issue | 3 | Pages | 483-500 |
| Keywords | habitat use; landscape ecology; occupancy model; Qomolangma; Panthera uncia | ||||
| Abstract |
The snow leopard (Panthera uncia) inhabits a human-altered alpine landscape and is often tolerated by residents in regions where the dominant religion is Tibetan Buddhism, including in Qomolangma NNR on the northern side of the Chinese Himalayas. Despite these positive attitudes, many decades of rapid economic development and population growth can cause increasing disturbance to the snow leopards, altering their habitat use patterns and ultimately impacting their conservation. We adopted a dynamic landscape ecology perspective and used multi-scale technique and occupancy model to better understand snow leopard habitat use and coexistence with humans in an 825 km2 communal landscape. We ranked eight hypothetical models containing potential natural and anthropogenic drivers of habitat use and compared them between summer and winter seasons within a year. HABITAT was the optimal model in winter, whereas ANTHROPOGENIC INFLUENCE was the top ranking in summer (AICcw≤2). Overall, model performance was better in the winter than in the summer, suggesting that perhaps some latent summer covariates were not measured. Among the individual variables, terrain ruggedness strongly affected snow leopard habitat use in the winter, but not in the summer. Univariate modeling suggested snow leopards prefer to use rugged land in winter with a broad scale (4000 m focal radius) but with a lesser scale in summer (30 m); Snow leopards preferred habitat with a slope of 22° at a scale of 1000 m throughout both seasons, which is possibly correlated with prey occurrence. Furthermore, all covariates mentioned above showed inextricable ties with human activities (presence of settlements and grazing intensity). Our findings show that multiple sources of anthropogenic activity have complex connections with snow leopard habitat use, even under low human density when anthropogenic activities are sparsely distributed across a vast landscape. This study is also valuable for habitat use research in the future, especially regarding covariate selection for finite sample sizes in inaccessible terrain. | ||||
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| Notes | Approved | no | |||
| Call Number | SLN @ rakhee @ | Serial | 1698 | ||
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| Author | Korablev, M. P., Poyarkov, A. D., Karnaukhov, A. S., Zvychaynaya, E. Y., Kuksin, A. N., Malykh, S. V., Istomov, S. V., Spitsyn, S. V., Aleksandrov, D. Y., Hernandez-Blanco, J. A., Munkhtsog, B., Munkhtogtokh, O., Putintsev, N. I., Vereshchagin, A. S., Becmurody, A., Afzunov, S., Rozhnov, V. V. | ||||
| Title | Large-scale and fine-grain population structure and genetic diversity of snow leopards (Panthera uncia Schreber, 1776) from the northern and western parts of the range with an emphasis on the Russian population. | Type | Journal Article | ||
| Year | 2021 | Publication | Conservation Genetics | Abbreviated Journal | |
| Volume | Issue | Pages | |||
| Keywords | Snow leopard, Panthera uncia, Microsatellites, Heterozygosity, Population structure, Noninvasive survey, Scat, Subspecies | ||||
| Abstract |
The snow leopard (Panthera uncia Schreber, 1776) population in Russia and Mongolia is situated at the northern edge of the range, where instability of ecological conditions and of prey availability may serve as prerequisites for demographic instability and, consequently, for reducing the genetic diversity. Moreover, this northern area of the species distribution is connected with the western and central parts by only a few small fragments of potential habitats in the Tian-Shan spurs in China and Kazakhstan. Given this structure of the range, the restriction of gene flow between the northern and other regions of snow leopard distribution can be expected. Under these conditions, data on population genetics would be extremely important for assessment of genetic diversity, population structure and gene flow both at regional and large-scale level. To investigate large-scale and fine-grain population structure and levels of genetic diversity we analyzed 108 snow leopards identified from noninvasively collected scat samples from Russia and Mongolia (the northern part of the range) as well as from Kyrgyzstan and Tajikistan (the western part of the range) using panel of eight polymorphic microsatellites. We found low to moderate levels of genetic diversity in the studied populations. Among local habitats, the highest heterozygosity and allelic richness were recorded in Kyrgyzstan (He = 0.66 ± 0.03, Ho = 0.70 ± 0.04, Ar = 3.17) whereas the lowest diversity was found in a periphery subpopulation in Buryatia Republic of Russia (He = 0.41 ± 0.12, Ho = 0.29 ± 0.05, Ar = 2.33). In general, snow leopards from the western range exhibit greater genetic diversity (He = 0.68 ± 0.04, Ho = 0.66 ± 0.03, Ar = 4.95) compared to those from the northern range (He = 0.60 ± 0.06, Ho = 0.49 ± 0.02, Ar = 4.45). In addition, we have identified signs of fragmentation in the northern habitat, which have led to significant genetic divergence between subpopulations in Russia. Multiple analyses of genetic structure support considerable genetic differentiation between the northern and western range parts, which may testify to subspecies subdivision of snow leopards from these regions. The observed patterns of genetic structure are evidence for delineation of several management units within the studied populations, requiring individual approaches for conservation initiatives, particularly related to translocation events. The causes for the revealed patterns of genetic structure and levels of genetic diversity are discussed. | ||||
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| Notes | Approved | no | |||
| Call Number | Serial | 1633 | |||
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| Author | McCarthy, K.; Fuller, T.; Ming, M.; McCarthy, T.; Waits, L.; Jumabaev, K. | ||||
| Title | Assessing Estimators of Snow Leopard Abundance | Type | Miscellaneous | ||
| Year | 2008 | Publication | Journal of Widlife Management | Abbreviated Journal | |
| Volume | 72 | Issue | 8 | Pages | 1826-1833 |
| Keywords | abundance; camera,capture-recapture,density,index,predator:prey ratios,techniques,Tien Shan,Uncia; leopard; SaryChat; sign surveys; Slims; snow; snow-leopard; snow leopard; Tomur | ||||
| Abstract |
The secretive nature of snow leopards (Uncia uncia) makes them difficult to monitor, yet conservation efforts require accurate and precise methods to estimate abundance. We assessed accuracy of Snow Leopard Information Management System (SLIMS) sign surveys by comparing them with 4 methods for estimating snow leopard abundance: predator:prey biomass ratios, capture-recapture density estimation, photo-capture rate, and individual identification through genetic analysis. We recorded snow leopard sign during standardized surveys in the SaryChat Zapovednik, the Jangart hunting reserve, and the Tomur Strictly Protected Area, in the Tien Shan Mountains of Kyrgyzstan and China. During June-December 2005, adjusted sign averaged 46.3 (SaryChat), 94.6 (Jangart), and 150.8 (Tomur) occurrences/km. We used counts of ibex (Capra ibex) and argali (Ovis ammon) to estimate available prey biomass and subsequent potential snow leopard densities of 8.7 (SaryChat), 1.0 (Jangart), and 1.1 (Tomur) snow leopards/100 km2. Photo capture-recapture density estimates were 0.15 (n = 1 identified individual/1 photo), 0.87 (n = 4/13), and 0.74 (n = 5/6) individuals/100 km2 in SaryChat, Jangart, and Tomur, respectively. Photo-capture rates (photos/100 trap-nights) were 0.09 (SaryChat), 0.93 (Jangart), and 2.37 (Tomur). Genetic analysis of snow leopard fecal samples provided minimum population sizes of 3 (SaryChat), 5 (Jangart), and 9 (Tomur) snow leopards. These results suggest SLIMS sign surveys may be affected by observer bias and environmental variance. However, when such bias and variation are accounted for, sign surveys indicate relative abundances similar to photo rates and genetic individual identification results. Density or abundance estimates based on capture-recapture or ungulate biomass did not agree with other indices of abundance. Confidence in estimated densities, or even detection of significant changes in abundance of snow leopard, will require more effort and better documentation. |
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| Call Number | SLN @ rana @ 881 | Serial | 653 | ||
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| Author | Saparbayev; S.K.; Woodward, D.B. | ||||
| Title | Snow Leopard (Uncia uncia) as an Indicator Species and Increasing Recreation Loads in the Almaty Nature Reserve | Type | Miscellaneous | ||
| Year | 2008 | Publication | Abbreviated Journal | Proceedings from the Fourth International Conference on Monitoring and Management of Visitor Flows i | |
| Volume | Issue | Pages | 511-515 | ||
| Keywords | snow leopard (Uncia uncia),Siberian ibex (Capra sibirica),Almaty Nature Reserve,Kazakhstan,ecotrail; 200 | ||||
| Abstract |
The purpose of this research is to analyze the data on ecology, biology and dynamics of snow leopard population in the Almaty Nature Reserve and to identify if the increasing numbers of ecotourists could contribute to the decrease of Uncia uncia population. The results of the study show that increasing recreation loads in the Reserve and adjacent territories elevate the disturbance level to the snow leopard's main prey Siberian Ibex and to the predator itself that could result in a decrease of population of this endangered species or its total extinction. | ||||
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| Notes | Conference in Montecatini Terme, Italy. 14-19 October 2008. Proceedings edited by Antonio Raschi and Sonia Trampetti. | Approved | no | ||
| Call Number | SLN @ rana @ 882 | Serial | 843 | ||
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